So much has been said about using machine learning to predict failures, while so little is actually used in practice. The number of papers, research articles, presentations and videos on predicting failure surely qualify for VERY BIG DATA. Over the…

In the world of Big-Data analytics, quite often, organizations get confused by the vast amount of data that they could potentially harness. One of the easiest ways to make use of this mountain of data is to use it to…

In this post we take forward the discussion from our previous post on “Condition Monitoring in Time & Frequency domain”. In the previous post we discussed how frequency domain analysis could help in problem identification in rotor and gearbox assemblies, weakness in foundations, component…

Modern wind turbines are electromechanical systems with about 30,000 components built into different subsystems like the rotor, gearbox, generation and transmission. Displacement, wear-tear and failure of these components affects performance of the wind turbine to varying degrees right from small production losses to component…

Global energy demand continues to grow at an alarming pace. Energy is the backbone for industry and commerce, and needs to be reliable and affordable. Growing environmental concerns including GHG emissions from thermal plants, radioactive waste management from nuclear plants and destruction of ecological…